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The GNU Octave interval package for real-valued [ interval/ interval packagearithmetic] provides data types and fundamental operations for .* Intervals are closed, connected subsets of the real valued interval arithmetic based on the common floating-point format “binary64” a. knumbers. a. double-precision. It aims to Intervals may be standard compliant with the unbound (upcomingin either or both directions) [http://standardsor special cases <code>+inf</developcode> and <code>-inf</project/1788code> are used to denote boundaries of unbound intervals, but any member of the interval is a finite real number.html IEEE 1788] and therefore implements the * Classical functions are extended to interval functions as follows: The result of function f evaluated on interval x is an interval '''enclosure of all possible values'set-based'' of f over x where the function is defined. Most interval arithmetic flavorfunctions in this package manage to produce a very accurate such enclosure. '''Interval * The result of an interval arithmetic''' produces mathematically proven numerical resultsfunction is an interval in general. It might happen, that the mathematical range of a function consist of several intervals, but their union will be returned, e. g., 1 / [-1, 1] = [Entire].
Warning: The package has not yet been released. If you want to experience the development version, you may (1) install the (currently deprecated) __TOC__[[httpFile:// fenv package], (2) download a [httpspng|280px|thumb|left|Example:// the interval/ci/default/tarball snapshot version enclosure of the interval packagea function]], (3) navigate to the <codediv style="clear:left">inst/</codediv> subfolder and run octave.
== Motivation Distribution ==* [ Latest version at Octave Forge]** <code>pkg install -forge interval</code>** [ function reference]** [ package documentation] (user manual)'''Third-party'''* [ Debian GNU/Linux], [ Launchpad Ubuntu]* [ archlinux user repository]* Included in [ official Windows installer] and installed automatically with Octave (since version 4.0.1)* [ MacPorts] for Mac OS X* [ FreshPorts] for FreeBSD* [ Cygwin] for Windows* [ openSUSE build service]
{{quote|Give a digital computer a problem in == Development status ==* Completeness** All required functions from [ IEEE Std 1788-2015], IEEE standard for interval arithmetic, and it are implemented. The standard was approved by IEEE-SA on June 11, 2015. It will grind away methodicallyremain active for ten years. The standard was approved by ANSI in 2016.** Also, tirelesslythe minimalistic standard [ IEEE Std 1788.1-2017], at gigahertz speedIEEE standard for interval arithmetic (simplified) is fully implemented. The standard was approved by IEEE-SA on December 6, until ultimately it produces the wrong answer2017 (and published in January 2018). … An ** In addition there are functions for interval computation yields a pair of numbersmatrix arithmetic, N-dimensional interval arrays, plotting, an upper and a lower boundsolvers.* Quality** Most arithmetic operations produce tight, correctly-rounded results. That is, the smallest possible interval with double-precision (binary64) endpoints, which are guaranteed encloses the exact result.** Includes [ large test suite] for arithmetic functions** For open bugs please refer to enclose the [ answer=1 bug tracker].* Performance** All elementary functions have been [https://octave. Maybe you still don’t know org/doc/interpreter/Vectorization-and-Faster-Code-Execution.html vectorized] and run fast on large input data.** Arithmetic is performed with the truth, but at least you know how much you don’t know.|Brian Hayes|[ MPFR] library internally.1511Where possible, the optimized [http://2003web.6archive.484 DOIorg/web/20170128033523/http: 10//lipforge.ens-lyon.1511fr/www/crlibm/2003CRlibm] library is used.* Portability** Runs in GNU Octave ≥ 3.68.484]}}2** Known to run under GNU/Linux, Microsoft Windows, macOS, and FreeBSD
{| class="wikitable" style="marginProject ideas (TODOs) ==* To be considered in the future: Algorithms can be migrated from the C-XSC Toolbox (C++ code) from [http: auto"!Standard floating point //] (nlinsys.cpp and cpzero.cpp), however these would need gradient arithmetic and complex arithmetic.!* Interval arithmeticversion of <code>interp1</code>|-* Extend <code>subsasgn</code> to allow direct manipulation of inf and sup (and dec) properties.| style >> A = infsup ("vertical-align: top[2, 4]" |); octave:1> 19 * 0.1 - 2 + 0> A.inf = infsup ("[1, 3]") ans A = [1, 4] 1>> A.3878e-16inf = 5| style A = "vertical-align[Empty]: top" |* While at it, also allow multiple subscripts in <code>subsasgn</code> octave>> A(:1> x )(2:4)(2) = infsup 42; # equivalent to A("03) = 42 >> A.1"inf(3)= 42;# also A(3).inf = 42 >> A.inf.inf = 42 # should produce error? octave>> A.inf.sup = 42 # should produce error?* Tight Enclosure of Matrix Multiplication with Level 3 BLAS [] []* Verified Convex Hull for Inexact Data [] [http:2> 19 //]* x Implement user- 2 + xcontrollable output from the interval standard (e. g. via printf functions): a) It should be possible to specify the preferred overall field width (the length of s). ans ⊂ b) It should be possible to specify how Empty, Entire and NaI are output, e.g., whether lower or upper case, and whether Entire becomes [Entire] or [-3Inf, Inf]. c) For l and u, it should be possible to specify the field width, and the number of digits after the point or the number of significant digits. (partly this is already implemented by output_precision (...) / `format long` / `format short`) d) It should be possible to output the bounds of an interval without punctuation, e.g.1918911957973251e-16, +1.3877787807814457e-16234 2.345 instead of [1.234, 2.345]. For instance, this might be a|} convenient way to write intervals to a file for use by another application.
Floating point arithmetic, as specified by [ == Compatibility ==The interval package's main goal is to be compliant with IEEE 754]Std 1788-2015, so it is available in almost every computer system today. It is widecompatible with other standard-spread, implemented in common hardware and integral part in programming languages. For example, conforming implementations (on the extended precision format is set of operations described by the default numeric data type in GNU Octavestandard document). Benefits Other implementations, which are known to aim for standard conformance are obvious: The results of arithmetic operations are well-defined and comparable between different systems and computation is highly efficient.
However, there are some downsides of floating point arithmetic in practice, which will eventually produce errors in computations.* Floating point arithmetic is often used mindlessly by developers. [http] [http:/JuliaIntervals/ IntervalArithmetic.pdf]* The binary data types categorically are not suitable for doing financial computations. Very often representational errors are introduced when using “real world” decimal numbers. [ package](Julia)* Even if the developer would be proficient, most developing environments / technologies limit floating point arithmetic capabilities to a very limited subset of IEEE 754: Only one or two data types, no rounding modes, … [httphttps://wwwgithub.cs.berkeley.educom/~wkahanjinterval/JAVAhurt.pdfjinterval JInterval library](Java)* Results are hardly predictable. [] All operations produce the best possible accuracy ''at runtime'', this is how floating-point works. Contrariwise, financial computer systems typically use a [http://en.wikipedia.orgcom/wikinadezhin/Fixed-point_arithmetic fixed-point arithmeticlibieeep1788 ieeep1788 library] (COBOL, PL/I, …C++)created by Marco Nehmeier, where overflow and rounding can be precisely predicted ''at compile-time''.* If you do not know the technical details, cf. first bullet, you ignore the fact that the computer lies to you in many situations. For example, when looking at numerical output and the computer says “<code>ans = 0.1</code>,” this is not absolutely correct. In fact, the value is only ''close enough'' to the value 0.1. Additionally, many functions produce limit values (∞ × −∞ = −∞, ∞ ÷ 0 = ∞, ∞ ÷ −0 = −∞, log (0) = −∞), which is sometimes (but not always!) useful when overflow and underflow occur.later forked by Dmitry Nadezhin
=== Octave Forge simp package ===In 2008/2009 there was a Single Interval arithmetic addresses above problems in its very special way and introduces new possibilities Mathematics Package (SIMP) for algorithms. For exampleOctave, the [ interval newton method] is able to find ''all'' zeros of a particular functionwhich has eventually become unmaintained at Octave Forge.
== Theory ==The simp package contains a few basic interval arithmetic operations on scalar or vector intervals. It does not consider inaccurate built-in arithmetic functions, round-off, conversion and representational errors. As a result its syntax is very easy, but the arithmetic fails to produce guaranteed enclosures.
=== Moore's fundamental theroem of interval arithmetic ===Let '''''y''''' = ''f''('''''x''''') be It is recommended to use the result ofinterval-evaluation of ''f'' over package as a box '''''x''''' = (''x''<sub>1</sub>, … replacement for simp. However, ''x''<sub>''n''</sub>)using any function names and interval versions of its component library functions. Then# In all cases, '''''y''''' contains constructors are not compatible between the range of ''f'' over '''''x''''', that is, the set of ''f''('''''x''''') at points of '''''x''''' where it is defined: '''''y''''' ⊇ Rge(''f'' | '''''x''''') = {''f''(''x'') | ''x'' ∈ '''''x''''' ∩ Dom(''f'') }# If also each library operation in ''f'' is everywhere defined on its inputs, while evaluating '''''y''''', then ''f'' is everywhere defined on '''''x''''', that is Dom(''f'') ⊇ '''''x'''''.# If in addition, each library operation in ''f'' is everywhere continuous on its inputs, while evaluating '''''y''''', then ''f'' is everywhere continuous on '''''x'''''.# If some library operation in ''f'' is nowhere defined on its inputs, while evaluating '''''y''''', then ''f'' is nowhere defined on '''''x''''', that is Dom(''f'') ∩ '''''x''''' = Øpackages.
== Quick start introduction =INTLAB ===This interval package is ''not'' meant to be a replacement for INTLAB and any compatibility with it is pure coincidence. Since both are compatible with GNU Octave, they happen to agree on many function names and programs written for INTLAB may possibly run with this interval package as well. Some fundamental differences that I am currently aware of:* INTLAB is non-free software, it grants none of the [ four essential freedoms] of free software* INTLAB is not conforming to IEEE Std 1788-2015 and the parsing of intervals from strings uses a different format—especially for the uncertain form* INTLAB supports intervals with complex numbers and sparse interval matrices, but no empty intervals* INTLAB uses inferior accuracy for most arithmetic operations, because it focuses on speed* Basic operations can be found in both packages, but the availability of special functions depends
=== Input and output ===
Before exercising interval arithmetic, interval objects must be created, typically from non-interval data. There are interval constants <code>empty</code> and <code>entire</code> and the class constructors <code>infsup</code> for bare intervals and <code>infsupdec</code> for decorated intervals. The class constructors are very sophisticated and can be used with several kinds of parameters: Interval boundaries can be given by numeric values or string values with decimal numbers. Also it is possible to use so called interval literals with square brackets.
octave<div style="display:flex; align-items:1flex-start"> infsup (1) ans <div style= [1] octave"margin-right:22em"> infsup (1, 2) ans {{Code|Computation with this interval package|<syntaxhighlight lang= [1, 2] "octave:3> infsup ("3", "4") ans = [3, 4] octave:4> infsup ("1.1") ans ⊂ [1.0999999999999998, 1.1000000000000001]pkg load interval octave:5> A1 = infsup ("[52, 6.5]"3); ans B1 = [5, 6.5] octave:6> infsup hull ("[5.8e-17]"4, A2); ans ⊂ [5.799999999999999e-17C1 = midrad (0, 5.800000000000001e-17]2);
It is possible to access the exact numeric interval boundaries with the functions A1 + B1 * C1<code/syntaxhighlight>inf}}</code> and <codediv>sup</codediv>. The default text representation of intervals can be created {{Code|Computation with INTLAB|<code>intervaltotext</codesyntaxhighlight lang="octave">. The default text representation is not guaranteed to be exact startintlabA2 = infsup (see function <code>intervaltoexact</code>2, 3);B2 = hull (-4, because this would massively spam console output. For exampleA2);C2 = midrad (0, the exact text representation of <code>realmin</code> would be over 700 decimal places long! However, the default text representation is correct as it guarantees to contain the actual boundaries and is accurate enough to separate different boundaries.2);
octave:7A2 + B2 * C2</syntaxhighlight> infsup (1, 1 + eps) ans ⊂ [1, 1.0000000000000003]}} octave:8</div> infsup (1, 1 + 2 * eps) ans ⊂ [1, 1.0000000000000005]</div>
Warning: Decimal fractions as well as numbers of high magnitude (> 2<sup>53</sup>) should always be passed as a string to the constructor. Otherwise it is possible, that GNU Octave introduces conversion errors when the numeric literal is converted into floating-point format '''before''' it is passed to the constructor.  octave:9> infsup (<span style = "color:red">0.2</span>) ans ⊂ [.20000000000000001, .20000000000000002] octave:10> infsup (<span style = "color:green">"0.2"</span>) ans ⊂ [.19999999999999998, .20000000000000002] For convenience it is possible to implicitly call the interval constructor during all interval operations if at least one input already is an interval object.  octave:11> infsup ("17.7") + 1 ans ⊂ [18.699999999999999, 18.700000000000003] octave:12> ans + "[0, 2]" ans ⊂ [18.699999999999999, 20.700000000000003] ==== Specialized interval constructors Known differences ====Above mentioned Simple programs written for INTLAB should run without modification with this interval construction with decimal numbers or numeric data is straightforwardpackage. Beyond The following table lists common functions that, there are more ways to define intervals or interval boundaries.* Hexadecimal-floating-constant form: Each interval boundary may be defined by use a hexadecimal number (optionally containing a point) and an exponent field with an integral power of two as defined by the C99 standard ([ ISO/IEC9899, N1256, §]). This can be used as a convenient way to define interval boundaries different name in double precision, because the hexadecimal form is much shorter than the decimal representation of many numbersINTLAB.* Rational literals: Each interval boundary may be defined as a fraction of two decimal numbers. This is especially useful if interval boundaries shall be tightest enclosures of fractions, that would be hard to write down as a decimal number.{|* Uncertain form: The ! interval as a whole can be defined by a midpoint or upper/lower boundary and an integral number of [ “units in last place” (ULPs)] as an uncertainty. The format is <code>''m''?''ruE''</code>, wherepackage** <code>''m ''</code> is a mantissa in decimal,! INTLAB** <code>''r ''</code> is either empty (which means ½ ULP) or is a non|-negative decimal integral ULP count or is the <code>?</code> character | infsup (for unbounded intervalsx),** <code>''u ''</code> is either empty | intval (symmetrical uncertainty of ''r'' ULPs in both directionsx) or is either <code>u</code> (up) or <code>d</code> |-| wid (downx),** <code>''E ''</code> is either empty or an exponent field comprising the character <code>e</code> followed by a decimal integer exponent | diam (base 10x).|- octave:13> infsup | subset ("0x1.999999999999Ap-4"a, b) ans ⊂ [.1, .10000000000000001] octave:14> infsup | in ("1/3"a, "7/9"b) ans ⊂ [.33333333333333331, .7777777777777778]|- octave:15> infsup | interior ("121.2?"a, b) ans ⊂ [121.14999999999999| in0 (a, 121.25] octave:16> infsup ("5?32e2"b) ans = [|-2700, +3700] octave:17> infsup | isempty ("-42??u"x) ans = [-42, +Inf] === Decorations ===With the subclass <code>infsupdec</code> it is possible to extend interval arithmetic with a decoration system. Every interval and intermediate result will additionally carry a decoration, which may provide additional information about the final result. The following decorations are available: {| class="wikitable" style="margin: auto"!Decoration!Bounded!Continuous!Defined!Definitionisnan (x)
| com<br/>disjoint (commona, b)| style="text-align: center" | ✓| style="text-align: center" | ✓| style="text-align: center" | ✓| '''''x''''' is emptyintersect (a bounded, nonempty subset of Dom(''f''); ''f'' is continuous at each point of '''''x'''''; and the computed interval ''f''('''''x'''''b) is bounded
| dac<br/>hdist (defined &amp; continuousa, b)|| style="text-align: center" | ✓| style="text-align: center" | ✓| '''''x''''' is qdist (a nonempty subset of Dom(''f'', b); and the restriction of ''f'' to '''''x''''' is continuous
| def<br/>disp (definedx)||| style="text-align: center" | ✓| '''''disp2str (x''''' is a nonempty subset of Dom(''f'')
| trv<br/>infsup (trivials)|||| always true str2intval (so gives no informations)
| ill<br/>isa (ill-formedx, "infsup")|||| Not an interval, at least one interval constructor failed during the course of computationisintval (x)
In the following example, all decoration information is lost when the == Developer Information ===== Source Code Repository === is possibly divided by zero, i. e., the overall function is not guaranteed to be defined for all possible inputs./ci/default/tree/
octave:1> infsupdec (3, 4) ans = [3, 4]_com octave:2> ans + 12 ans = [15, 16]_com= Dependencies === octave:3> ans / "[0, 2]" ans = [7.5, Inf]_trvapt-get install liboctave-dev mercurial make automake libmpfr-dev
=== Arithmetic operations Build ===The interval packages comprises many interval arithmetic operationsrepository contains a Makefile which controls the build process. Function names match GNU Some common targets are:* <code>make release</code> Create a release tarball and the HTML documentation for [[Octave standard functions where applicable, and follow recommendations by IEEE 1788 otherwiseForge]] (takes a while). It is possible * <code>make check</code> Run the full test-suite to look up all verify that code changes didn't break anything (takes a while).* <code>make run</code> Quickly start Octave with minimal recompilation and functions by their corresponding IEEE 1788 name in loaded from the index {{Citation needed}}workspace (for interactive testing of code changes).
Arithmetic functions in a set-based interval arithmetic follow these rules: Intervals are sets. They are subsets of the set of real numbers. The interval version of an elementary function such as sin(''x'Build dependencies''') is essentially the natural extension to sets of the corresponding point<code>apt-get install libmpfr-wise function on real numbers. That is, the function is evaluated for each number in the interval where the function is defined and the result must be an enclosure of all possible values that may autoconf automake inkscape zopfli</code>
One operation that should be noted is the <code>fma</code> function (fused multiply and add). It computes '''''x''''' × '''''y''''' + '''''z''''' in a single step and is much slower than multiplication followed by addition. However, it is more accurate and therefore preferred in some situations.=== Architecture ===
octaveIn a nutshell the package provides two new data types to users:1bare intervals and decorated intervals. The data types are implemented as:* class <code> sin (infsup </code> (0.5bare interval)) ans ⊂ [.47942553860420294, .47942553860420307] octave:2with attributes <code>inf</code> pow (infsup (2lower interval boundary), infsup and <code>sup</code> (3, 4)upper interval boundary) ans = [8, 16] octave:3* class <code>infsupdec</code> atan2 (infsup (1decorated interval), infsup which extends the former and adds attribute <code>dec</code> (1interval decoration)) ans ⊂ [.785398163397448, .7853981633974487]
=== Reverse arithmetic operations ===[[File:Reverse-power-Almost all functionsin the package are implemented as methods of these classes, e.png|400px|thumb|right|Reverse power operationsg. The relevant subset of the function's domain, where ''x''<supcode>''y''@infsup/sin</supcode> ∈ [2, 3]implements the sine function for bare intervals. Most code is kept in m-files. Arithmetic operations that require correctly-rounded results are implemented in oct-files (C++ code), these are used internally by the m-files of the package. The source code is outlined and hatched.]]organized as follows:
Some arithmetic functions also provide reverse mode operations +- doc/ – package manual +- inst/ | +- @infsup/ | | +- infsup. That is inverse functions with interval constraintsm – class constructor for bare intervals | | +- sin. For example the <code>sqrrev</code> can compute the inverse of the <code>sqr</code> m – sine function for bare intervals (uses mpfr_function_d internally) | | `- ... – further functions on bare intervals | +- @infsupdec/ | | +- infsupdec.m – class constructor for decorated intervals | | +- sin. The syntax is <code>X = sqrrev m – sine function for decorated intervals (C, Xuses @infsup/sin internally)</code> and will compute the enclosure of all numbers ''x'' ∈ X | | `- ... – further functions on decorated intervals | `- ... – a few global functions that fulfill the constraint don''x''² ∈ Ct operate on intervals `- src/ +- – computes various arithmetic functions correctly rounded (using MPFR) `- ... – other oct-file sources
In the following example, we compute the constraints for base === Best practices ======= Parameter checking ====* All methods must check <code>nargin</code> and exponent of the power function call <code>powprint_usage</code> if the number of parameters is wrong. This prevents simple errors by the user.* Methods with more than 1 parameter must convert non-interval parameters to intervals using the class constructor. This allows the user to mix non-interval parameters with interval parameters and the function treats any inputs as shown in intervals. Invalid values will be handled by the figureclass constructors. octave:1> x = powrev1 if (not (infsup isa (x, "[1.1, 1.45]infsup"), )) x = infsup (2, 3)x); x ⊂ [1.6128979635153644, 2.7148547265657923]endif octave:2> y = powrev2 if (not (infsup isa (y, "[2.14, 2.5]infsup"), )) y = infsup (2, 3)y); y ⊂ [.7564707973660297, 1.4440113978403293]endif
if (not (isa (x, "infsupdec"))) x === Numerical operations ===infsupdec (x); endifSome operations on intervals do if (not return an interval enclosure(isa (y, but a single number. Most important are <code>inf</code> and <code>sup</code>, which return the interval boundaries in double precision."infsupdec"))) y = infsupdec (y); endif
More such operations are <code>mid</code> (approximation ==== Use of the intervalOctave functions ====Octave functions may be used as long as they don's midpoint)t introduce arithmetic errors. For example, <code>wid</code> the ceil function can be used safely since it is exact on binary64 numbers. function x = ceil (approximation of the interval's widthx), <code>rad</code> ... parameter checking ... x.inf = ceil (approximation of the interval's radiusx.inf), <code>mag</code> and <code>mig</code>; x.sup = ceil (x.sup); endfunction
=== Boolean operations ===Interval comparison operations produce boolean results. While some comparisons are especially for intervals (subsetIf Octave functions would introduce arithmetic/rounding errors, interior, ismember, isempty, disjoint, …) others there are extensions of simple numerical comparison. For example, the less interfaces to MPFR (or equal) comparison is mathematically defined as ∀<subcode>''a''mpfr_function_d</subcode> ∃) and crlibm (<subcode>''b''crlibm_function</subcode> ''a'' ≤ ''b'' ∧ ∀<sub>''b''</sub> ∃<sub>''a''</sub> ''a'' ≤ ''b''), which can produce guaranteed boundaries.
==== Vectorization & Indexing ====All functions should be implemented using vectorization and indexing. This is very important for performance on large data. For example, consider the plus function. It computes lower and upper boundaries of the result (x.inf, y.inf, x.sup, y.sup may be vectors or matrices) and then uses an indexing expression to adjust values where empty intervals would have produces problematic values. octave:1> infsup function x = plus (1x, 3y) < ... parameter checking ... l = infsup mpfr_function_d (2'plus', 4-inf, x.inf, y.inf); u = mpfr_function_d ('plus', +inf, x.sup, y.sup); ans emptyresult = isempty (x) | isempty (y); l(emptyresult) = inf; u(emptyresult) = -inf; 1endfunction
=== Error handling =VERSOFT ==Due to the nature of set-based interval arithmetic, you should never observe errors during computationThe [http://uivtx.cs.cas. If you do, there either is cz/~rohn/matlab/ VERSOFT] software package (by Jiří Rohn) has been released under a bug in free software license (Expat license) and algorithms may be migrated into the code or there are unsupported data typesinterval package.
octave{|! Function! Status! Information|-|colspan="3"|Real (or complex) data only: Matrices|-|verbasis|style="color:red"| trapped| depends on <code style="color:red">verfullcolrank</code>|-|vercondnum|style="color:red"| trapped| depends on <code style="color:red">versingval</code>|-|verdet|style="color:red"| trapped| depends on <code>vereig</code>|-|verdistsing|style="color:1red"| trapped| depends on <code style="color:red"> infsup versingval</code>|-|verfullcolrank|style="color:red"| trapped| depends on <code>verpinv</code>|-|vernorm2|style="color:red"| trapped| depends on <code style="color:red">versingval</code>|-|vernull (2, 3experimental) | unknown| depends on <code style="color:red">verlsq</ 0code>; todo: compare with local function inside <code style="color:green">verintlinineqs</code> ans |-|verorth|style="color:red"| trapped| depends on <code style= [Empty]"color:red">verbasis</code> and <code style="color:red">verthinsvd</code>|-|verorthproj|style="color:red"| trapped| depends on <code style="color:red">verpinv</code> and <code style="color:red">verfullcolrank</code>|-|verpd octave|style="color:2red"| trapped| depends on <code>isspd</code> infsup (0by Rump, to be checked) ^ infsup and <code style="color:red">vereig</code>|-|verpinv|style="color:red"| trapped| dependency <code>verifylss</code> is implemented as <code>mldivide</code>; depends on <code style="color:red">verthinsvd</code>|-|verpmat|style="color:red"| trapped| depends on <code style="color:red">verregsing</code>|-|verrank|style="color:red"| trapped| depends on <code style="color:red">versingval</code> and <code style="color:red">verbasis</code>|-|verrref|style="color:red"| trapped| depends on <code style="color:red">verfullcolrank</code> and <code style="color:red">verpinv</code>|-|colspan="3"|Real (0or complex)data only: Matrices: Eigenvalues and singular values ans |-|vereig|style= [Empty]"color:red"| trapped However, the interval constructors can produce errors depending | depends on the input. The proprietary <code>infsupverifyeig</code> constructor will fail if the function from INTLAB, depends on complex interval boundaries are invalid. Contrariwisearithmetic|-|<s>vereigback</s>|style="color:green"| free, the migrated (for real eigenvalues)| dependency <code>infsupdecnorm</code> constructor will only issue a warning and return a [NaI], which will propagate and survive through already implemented|-|verspectrad octave|style="color:red"| trapped| main part implemented in <code>vereig</code>|-|colspan="3> infsup "|Real (3, 2or complex) + 1data only: Matrices: Decompositions|-|verpoldec|style="color:red"| trapped| depends on <code style="color:red">verthinsvd</code>|-|verrankdec|style="color:red"| trapped| depends on <code style="color:red">verfullcolrank</code> and <code style="color:red">verpinv</code> error|-|verspectdec|style="color: illegal interval boundariesred"| trapped| main part implemented in <code>vereig</code>|-|verthinsvd|style="color: infimum greater than supremumred"| trapped| implemented in <code>vereig</code>|- ''… |colspan="3"|Real (call stackor complex) …''data only: Matrix functions octave|-|vermatfun|style="color:red"| trapped| main part implemented in <code>vereig</code>|-|colspan="3> infsupdec "|Real data only: Linear systems (3, 2rectangular) + 1 warning|-|<s>verlinineqnn</s>|style="color: illegal interval boundariesgreen"| free, migrated| use <code>glpk</code> as a replacement for <code>linprog</code>|-|verlinsys|style="color: infimum greater than supremumred"| trapped ans | dependency <code>verifylss</code> is implemented as <code>mldivide</code>; depends on <code style= [NaI]"color:red">verpinv</code>, <code style="color:red">verfullcolrank</code>, and <code style="color:red">verbasis</code>|-|verlsq|style="color:red"| trapped| depends on <code style= Related work "color:red">verpinv</code> and <code style="color:red">verfullcolrank</code>|-|colspan="3"|Real data only: Optimization|-|verlcpall|style="color:green"| freeFor MATLAB there | depends on <code>verabsvaleqnall</code>|-|<s>verlinprog</s>|style="color:green"| free, migrated| use <code>glpk</code> as a replacement for <code>linprog</code>; dependency <code>verifylss</code> is implemented as <code>mldivide</code>|-|verlinprogg|style="color:red"| trapped| depends on <code>verfullcolrank</code>|-|verquadprog| unknown| use <code>quadprog</code> from the optim package; use <code>glpk</code> as a popular interval arithmetic toolbox replacement for <code>linprog</code>; dependency <code>verifylss</code> is implemented as <code>mldivide</code>; depends on <code>isspd</code> (by Rump, to be checked, algorithm in [])|-|colspan="3"|Real (or complex) data only: Polynomials|-|verroots|style="color:red"| trapped| main part implemented in <code>vereig</code>|-|colspan="3"|Interval (or real) data: Matrices|-|verhurwstab|style="color:red"| trapped| depends on <code style="color:red">verposdef</code>|-|verinverse|style="color:green"| free| depends on <code style="color:green">verintervalhull</code>, to be migrated|-|<s>verinvnonneg</s>|style="color:green"| free, migrated|-|verposdef|style="color:red"| trapped| depends on <code>isspd</ INTLAB] code> (by Siegfried Rump , to be checked) and <code style="color:red">verregsing</code>|-|verregsing|style="color:red"| trapped| dependency <code>verifylss</code> is implemented as <code>mldivide</code>; depends on <code>isspd</code> (member of IEEE P1788by Rump, to be checked)and <code>verintervalhull</code>; see also [ It had been free pdf]|-|colspan="3"|Interval (as or real) data: Matrices: Eigenvalues and singular values|-|vereigsym|style="color:red"| trapped| main part implemented in <code>vereig</code>, depends on <code style="color:red">verspectrad</code>|-|vereigval|style="color:red"| trapped| depends on <code style="color:red">verregsing</code>|-|<s>vereigvec</s>|style="color:green"| free beer, migrated|-|verperrvec|style="color:green"| free| the function is just a wrapper around <code style="color:green">vereigvec</code>?!?|-|versingval|style="color:red"| trapped| depends on <code style="color:red">vereigsym</code>|-|colspan="3"|Interval (or real) for academic use in data: Matrices: Decompositions|-|verqr (experimental)|style="color:green"| free| <code>qr</code> has already been implemented using the pastGram-Schmidt process, but no longer iswhich seems to be more accurate and faster than the Cholsky decomposition or Householder reflections used in verqr. No migration needed. Its origin dates back |-|<s>verchol (experimental)</s>|style="color:green"| free, migrated| migrated version has been named after the standard Octave function <code>chol</code>|-|colspan="3"|Interval (or real) data: Linear systems (square)|-|verenclinthull|style="color:green"| free| to 1999be migrated|-|verhullparam|style="color:green"| free| depends on <code>verintervalhull</code>, so it is well tested and comprises a lot of functionalityto be migrated|-|verhullpatt|style="color:green"| free| depends on <code>verhullparam</code>, especially for vector to be migrated|-|verintervalhull|style="color:green"| free| to be migrated|-|colspan="3"|Interval (or real) data: Linear systems (rectangular)|-|verintlinineqs|style="color:green"| free| depends on <code style="color:green">verlinineqnn</code>|-|veroettprag|style="color:green"| free|-|vertolsol|style="color:green"| free| depends on <code style="color:green">verlinineqnn</ matrix operations. INTLAB is not compatible with GNU Octave. I don't know if INTLAB is code>|-|colspan="3"|Interval (or will real) data: Matrix equations (rectangular)|-|vermatreqn|style="color:green"| free|-|colspan="3"|Real data only: Uncommon problems|-| plusminusoneset|style="color:green"| free|-| verabsvaleqn|style="color:green"| free| to be compliant with IEEE 1788.migrated|-| verabsvaleqnall|style="color:green"| freeFor C++ there is an interval library | depends on <code>verabsvaleqn</code>, see also [https libIEEE1788absvaleqnall.pdf] by Marco Nehmeier (member of IEEE P1788). It aims , to be standard compliant with IEEE 1788, but is not complete yet.migrated|-| verbasintnpprob|style="color:red"| trapped| depends on <code style="color:red">verregsing</code>|-|}
For Java there is a library [ jinterval] by Dmitry Nadezhin (member of IEEE P1788). It aims to be standard compliant with IEEE 1788, but is not complete yet.